Population genetic structure of the malaria vector Anopheles minimus A in Vietnam

Heredity ◽  
2003 ◽  
Vol 91 (5) ◽  
pp. 487-493 ◽  
Author(s):  
W Van Bortel ◽  
H D Trung ◽  
P Roelants ◽  
T Backeljau ◽  
M Coosemans
2021 ◽  
Vol 14 (1) ◽  
Author(s):  
Kamonchanok Bunmee ◽  
Urusa Thaenkham ◽  
Naowarat Saralamba ◽  
Alongkot Ponlawat ◽  
Daibin Zhong ◽  
...  

Abstract Background The malaria vector Anopheles minimus has been influenced by external stresses affecting the survival rate and vectorial capacity of the population. Since An. minimus habitats have continuously undergone ecological changes, this study aimed to determine the population genetic structure and the potential gene flow among the An. minimus populations in Thailand. Methods Anopheles minimus was collected from five malaria transmission areas in Thailand using Centers for Disease Control and Prevention (CDC) light traps. Seventy-nine females from those populations were used as representative samples. The partial mitochondrial cytochrome c oxidase subunit I (COI), cytochrome c oxidase subunit II (COII) and cytochrome b (Cytb) gene sequences were amplified and analyzed to identify species and determine the current population genetic structure. For the past population, we determined the population genetic structure from the 60 deposited COII sequences in GenBank of An. minimus collected from Thailand 20 years ago. Results The current populations of An. minimus were genetically divided into two lineages, A and B. Lineage A has high haplotype diversity under gene flow similar to the population in the past. Neutrality tests suggested population expansion of An. minimus, with the detection of abundant rare mutations in all populations, which tend to arise from negative selection. Conclusions This study revealed that the population genetic structure of An. minimus lineage A was similar between the past and present populations, indicating high adaptability of the species. There was substantial gene flow between the eastern and western An. minimus populations without detection of significant gene flow barriers. Graphical abstract


2005 ◽  
Vol 14 (14) ◽  
pp. 4235-4248 ◽  
Author(s):  
A. P. MICHEL ◽  
M. J. INGRASCI ◽  
B. J. SCHEMERHORN ◽  
M. KERN ◽  
G. GOFF ◽  
...  

2016 ◽  
Vol 39 ◽  
pp. 35-44 ◽  
Author(s):  
Richa Sharma ◽  
Arvind Sharma ◽  
Ashwani Kumar ◽  
Madhulika Dube ◽  
S.K. Gakhar

Acta Tropica ◽  
2007 ◽  
Vol 101 (1) ◽  
pp. 61-68 ◽  
Author(s):  
Christophe Antonio-Nkondjio ◽  
Cyrille Ndo ◽  
Parfait Awono-Ambene ◽  
Pierre Ngassam ◽  
Didier Fontenille ◽  
...  

2010 ◽  
Vol 9 (1) ◽  
Author(s):  
Cyrille Ndo ◽  
Christophe Antonio-Nkondjio ◽  
Anna Cohuet ◽  
Diego Ayala ◽  
Pierre Kengne ◽  
...  

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